A trajectory is the tracing of an object through physical space, and is now a first-class object in spatial data analysis due to the ease of creating these objects via GPS trackers. Also, their analysis has been at the forefront of geo-spatial research in clustering [1]}, [2]}, [3]}, [4]}, [5]}, similarity measures [6]}, [7]}, [8]}, [9]}, classification [10]}, [11]}, [12]}, [13]}, [14]}, [15]}, [16]}, [17]}, [18]}, [19]}, [20]}, [21]}, [22]}, [23]}, [24]}, [25]}, and transportation mode detection [26]}, [27]}, [28]}, [29]}, [30]}, [31]}, [32]}, [33]}, [34]}, [35]}.
In this paper we do not factor in the absolute time these traces are made, but mostly treat the trajectories as geometric objects in the plane. Moreover, in this setting, we focus on the central machine learning tasks of being able to classify trajectories to predict if they belong to one of two classes.
